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badokorach/
bert-finetuned-squad-7-2309

Name: bert-finetuned-squad-7-2309
Availability: InStock

transformers

bert

question-answering

generated_from_keras_callback

badokorach/bert-finetuned-squad-7

finetune

apache-2.0

endpoints_compatible

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badokorach/bert-finetuned-squad-7-2309

This model is a fine-tuned version of badokorach/bert-finetuned-squad-7 on an unknown dataset. It achieves the following results on the evaluation set:

Train Loss: 0.1499
Validation Loss: 0.0
Epoch: 19

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 2e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 2596, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 4, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.02}
training_precision: mixed_float16

Training results

Train Loss	Validation Loss	Epoch
1.0115	0.0	0
0.2937	0.0	1
0.2292	0.0	2
0.1814	0.0	3
0.1772	0.0	4
0.1645	0.0	5
0.1652	0.0	6
0.1565	0.0	7
0.1613	0.0	8
0.1580	0.0	9
0.1706	0.0	10
0.1598	0.0	11
0.1595	0.0	12
0.1537	0.0	13
0.1544	0.0	14
0.1576	0.0	15
0.1552	0.0	16
0.1530	0.0	17
0.1554	0.0	18
0.1499	0.0	19

Framework versions

Transformers 4.33.2
TensorFlow 2.13.0
Datasets 2.14.5
Tokenizers 0.13.3